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MEAM Seminar: “Bridging Physical Models and Observational Data with Physics-informed Deep Learning”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

Physical models of many natural and engineered systems are, at best, only partially known; a common setting under which classical analytical or computational tools inevitably face challenges and introduce many sources of uncertainty. Therefore, observational data plays a crucial role, yet our ability to collect them far outpaces our ability to sensibly assimilate it, let […]

CBE Seminar: “Bio-inspired Pathways to Manipulating Architecture and Mechanics in Polymeric Materials”

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Abstract Fiber constructs are prevalent in natural systems, from collagen fiber networks in tendon to tough, spider silk fibers. Recent innovations in multilayer co-extrusion technology have translated to the fabrication of melt-extruded fiber-reinforced composites, reminiscent of the nanoscale features of the Brown Recluse Spider. Distinct advantages of this modular approach over other traditional techniques include […]

ESE Seminar: “The Role of Explicit Regularization in Overparameterized Neural Networks”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Overparameterized neural networks have proved to be remarkably successful in many complex tasks such as image classification and deep reinforcement learning. In this talk, we will consider the role of explicit regularization in training overparameterized neural networks. Specifically, we consider ReLU networks and show that the landscape of commonly used regularized loss functions have the […]

ESE Seminar: “Learning is Pruning”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

The strong lottery ticket hypothesis (LTH) postulates that any neural network can be approximated by simply pruning a sufficiently larger network of random weights. Recent work establishes that the strong LTH is true if the random network to be pruned is a large poly-factor wider than the target one. This polynomial over-parameterization is at odds with […]

Doctoral Dissertation: “Implantable Micro-Tissue Engineered Nerve Grafts to Maintain Regenerative Capacity and Facilitate Functional Recovery Following Nervous System Injury” (Justin Burrell)

The Department of Bioengineering at the University of Pennsylvania and Dr. D. Kacy Cullen are pleased to announce the Doctoral Dissertation Defense of Justin Burrell. Title:  Implantable Micro-Tissue Engineered Nerve Grafts to Maintain Regenerative Capacity and Facilitate Functional Recovery Following Nervous System Injury  The public is welcome to attend virtually via Bluejeans.

MEAM Ph.D. Thesis Defense: “Structural and Mechanical Responses to Intermittent Parathyroid Hormone Treatment, Discontinuation, and Cyclic Administration Regimens”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

Bone mineral density rapidly decreases upon withdrawal from intermittent parathyroid hormone (PTH) treatment despite its potent effect of promoting bone formation. To better understand this adverse phenomenon, this study first aimed to investigate the phenotype of PTH withdrawal in both intact and estrogen-deficient rat model by using a well-designed experiment combined with innovative longitudinal imaging […]

CBE PhD Dissertation Defense | Investigation of High-Surface-Area Titanate (ATiO3) Thin Films Prepared by Atomic Layer Deposition

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Abstract:  "Heterogeneous catalysis is critically important in the chemical-processing and energy-related industries. Ideally, reaction sites on heterogeneous catalysts can be regenerated, and the catalysts should be active throughout the catalytic process. However, harsh reaction conditions and parallel side reactions can be harmful to the metal catalysts, making deactivation a common phenomenon. Finding a catalyst that […]

CBE PhD Dissertation Defense | Study of Metal Catalysts Supported on Thin Films of Perovskites prepared by Atomic Layer Deposition (ALD)

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Abstract:  Sintering is a severe problem with supported-metal catalysts in high-temperature applications, such as in automotive-emissions control, because it leads to a loss of catalytically active surface area. To stabilize the metal particles, in 2001, the Daihatsu group proposed using perovskite-supported metals, which they referred to as “intelligent” catalysts. The original goal was to regenerate […]